Data Management is a set of practices and techniques used by researchers to ensure that their data is organised, structured and easily reusable for future research
What does "curating data stories" mean from a technical and academic perspective? This podcast from the curiositas5.0 project features a discussion between Jane Haller and Joana Meier about experimenting with digital exhibitions.
When producing and processing humanities data, very often deal with information about people – unlike in for example physics or chemistry, the primary subjects of our research may be thinking, feeling beings, and that means that we have significant ethical and moral considerations in how we go about our data projects. This resource will detail methods and techniques developed to create and process datasets without compromising ethics.
The data you generate in humanities and social science projects may well need longer term storage
beyond the scope of your own research project. Medium to long term data storage is vital for
allowing other scholars to examine and test your data and models, and ensuring open access to your
data is an increasingly prominent issue. This resource will guide you through a thoughtful discussion of Data Management and Storage.
This article introduces the main concepts in Git and basic Git commands that can be used from the command line. Understanding these commands will help you with using Git in a code editor, the Git desktop and other options, like GitHub online.
Getting access to the data on GitLab is different on all three operating systems. This post shows how to use the code editor VS Code with its graphical user interface for working collaboratively in Git with Windows, Mac and Linux.
This short course will help learners understand how to work with Git in a collaborative setting such as teamwork or group projects, and how to make use of platforms like GitHub or GitLab to complete that work.
This resource offers an introduction to copyright laws within the UK context when dealing with multidimensional media from repositories, archives and collections from that country.
In this resource students will learn what a database is and how it is used in humanities research, go through examples of Humanities Databases in use by researchers today, learn when a researcher would need to use a database and how to distinguish between different database technologies.
Dieser Kurs gibt einen Einblick in die langfristige Bewahrung digitaler Daten, d.h. die Archivierung digitaler Daten. Es werden praktische Tipps aus der Perspektive der Datenersteller gegeben.
This resource offers a starting point to learn more about the different types of multidimensional media, as well as managing media in a way which promotes the FAIR principles.
The resource also introduces the concept of a Virtual Research Environment to support retrieval and curation of multidimensional data for storytelling via interoperable frameworks.
Anschließend an die "Grundlagen des Datenmanagements" und der praktischen Übung zu Datenmanagement bietet dieser Kurs eine Einführung in das Thema Metadaten. Was sind Metadaten? Aus welchen Komponenten bestehen sie? Und welche Typen von Metadaten können wir unterscheiden?
Dieses Kapitel erläutert einige grundlegende Regeln für ein aktives und gutes Datenmanagement und beschreibt, wie Dateien und Ordner sinnvoll und eindeutig benannt und strukturiert werden können, wie man mit Versionierung arbeitet und welche Dateiformate für die Nachnutzbarkeit und Langzeitarchivierung geeignet sind.
